A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
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